《Impact of active “organic decentralization population” policy on future urban built-up areas: Beijing case study》

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作者
Fang Liu;Weilun Sun
来源
HABITAT INTERNATIONAL,Vol.105,P.102262
语言
英文
关键字
Unipolar concentration;Policy oriented;Built-up area;Organic decentralization theory;Redistribution;Population shifting
作者单位
Review article"}]},{"#name":"title","$":{"id":"title0010;School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China;Department of Geography, University of Wisconsin-Milwaukee, Milwaukee 53201, USA;School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China;Department of Geography, University of Wisconsin-Milwaukee, Milwaukee 53201, USA
摘要
Recently, numerous mega cities have been experiencing similar issues while searching for strategies to create “safe, resilient, and sustainable population urbanization” development. In Beijing, the high population concentration polarization and uneven distribution of resources has aggravated the relationship between inhabitants and land use. In this study, the methodology has been proposed in which the current driving policy was embedded into the simulation mechanism quantitatively in an attempt to solve the problem that researchers cannot predict the future with the rule of historical change. To reveal the driving role of policies on population mobility, and evolutionary immigrant dynamics on the size of built-up areas, we proposed a loose coupling framework between a population prediction model and SLEUTH model methodologically, which included predicting the population density re-distribution and sub-rescaling, and simulating the built-up land in grid 1 km2 used for planning evaluation and adjustments, thereby making it possible to evaluate direct impact from human activities on the spatial expansion of built-up areas. The results herein may help urban planners and geographers understand how alternative modeling is more policy-oriented and can reveal the transfer mechanism in land use prediction.